View clinical trials related to Adenoma.
Filter by:The primary objective of this clinical trial is to determine the sensitivity and specificity of the EarlyTect® CRC test for detecting CRC, using colonoscopy as the reference method. The secondary objective is to compare the clinical performance of EarlyTect® CRC test with a commercially available Fecal Immunochemical Test (FIT), with respect to CRC. By histopathological examination, lesions identified during colonoscopy will be confirmed as malignant or precancerous by histological examination.
The registry of this study was subjected to patients who were radiologically diagnosed with a non-malignant brain tumor at Seoul National University Hospital since 2001, and who have had magnetic resonance (MR) re-examination after first MR exam or will be re-examined because it was determined that immediate treatment would not be needed at the first visit to the hospital. In all MRs taken by patients, the date of imaging and the volume of the tumor are measured, and we aim to establish a natural growth history for non-malignant brain tumors.
The investigators hypothesize that detection of field cancerization in the GI tract could be performed during endoscopy by performing Raman and scattering measurements. Together with the Technical University of Munich (TUM) and the Universidad Carlos III de Madrid (UC3M), the investigators have developed an investigational medical device that integrates probe-based Raman and scattering measurements for endoscopic purposes: the SENSITIVE system. During preclinical ex vivo studies, the investigators have established that measurements of the SENSITIVE system were able to discriminate between non-field cancerized tissue and field cancerized tissue. Considering these results, the investigators aim to assess the safety of in vivo Raman/scattering during endoscopy. Secondly, the investigators to assess the feasibility of this approach measurements to determine field cancerization in the alimentary tract during endoscopy through the SENSITIVE system.
This is a pragmatic, double-blind, randomized, controlled trial, to evaluate the effect of implementing a CADs system within the routine clinical practice of Canadian healthcare institutions. The main hypothesis of this study is that the ADR in the operating room equipped with the GI genius CADe system will be significantly higher than the ADR in the ordinary operating room.
Colonoscopy is clinically used as the gold standard for detection of colorectal cancer (CRC) and removal of adenomatous polyps of the colon and rectum. Evidence has shown that CRC could be prevented by colonoscopic removal of adenomatous polyps. Despite the success of colonoscopy in reducing cancer-related deaths, there exists a disappointing level of adenomas missed at colonoscopy. In recent years, emerging artificial intelligence (AI) and computer-aided detection (CADe) technology has been shown to improve ADR. Based on a meta-analysis, ADR was demonstrated to be significantly higher in the CADe groups than in the standard colonoscopy groups, representing a relative risk of 25.2%. In this study, performance of colonoscopy with or without aid of CADe will be compared in terms of quality indicators. The adenoma detection rate (ADR), which is the proportion of average-risk patients undergoing screening colonoscopy in whom an adenoma is found, is regarded as a robust measure of colonoscopy performance quality that correlates with subsequent cancer risk. Thus, ADR is taken as the primary outcome of this study. The target population includes individuals who are undergoing screening, diagnostic, or surveillance colonoscopy.
The purpose of this study is to compare the additional diagnostic yield over Standard Colonoscopy (i.e., the adenoma miss-rate reduction) obtained by performing CADEYE and G-EYE® aided colonoscopy, vs. the additional diagnostic yield over Standard Colonoscopy (i.e., the adenoma miss-rate reduction) obtained by performing CAD-EYE aided colonoscopy.
The investigators hypothesize that the clinical implementation of an AI system is an optimal tool to monitor, audit and improve the detection and classification of polyps during colonoscopy. The purpose of this prospective clinical cohort study is to evaluate the performance of the SCALE-EYE virtual scale for measuring polyp size when used during live colonoscopies. The investigators also wish to evaluate CAD-eye for detection and classification of polyp histology. It is hypothesized that CAD-eye and SCALE-EYE can function in real-time practice with high accuracy.
Colonoscopy is the gold standard for colorectal screening. The diagnostic accuracy of colonoscopy highly depends on the quality of inspection of the colon during the procedure. To increase detection new polyp detection systems based on artificial intelligence (AI) have been developed. However, these systems still depend on the ability of the endoscopist to adequately visualize the complete colonic mucosa, especially to detect smaller and more subtle lesions, or lesions hidden behind folds in the colon. With this study we want to combine a device to flatten the folds in the colon combined with an artificial intelligence system to further improve the detection rate of lesions during colonoscopy.
In summary, our study demonstrated the methylation sites of SFRP1 gene promoter in patients with colorectal cancer and adenoma and found SFRP1_16_17_18 CpG site was good performance as a diagnostic marker of colorectal cancer.
Early detecting and removing of colorectal advanced adenomas can reduce incidence of colorectal cancer. In order to reduce the incidence of colorectal cancer, improve the early diagnosis of colorectal cancer, the investigators conducted this study to explore diagnostic accuracy of fecal immunochemical test in colorectal cancer screening population.